Job
- Level
- Experienced
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Temporary employment
- Location
- Heidelberg
- Working Model
- Onsite
Job Summary
In this role, you will develop AI-driven systems for automated analysis of complex images, integrate modern language and vision models, and support interdisciplinary research teams in leveraging advanced AI technologies.
Job Technologies
Your role in the team
- We are seeking a highly motivated individual to join an interdisciplinary team at the interface of natural language processing, computer vision, machine learning, and scientific imaging.
- Your work will focus on bringing modern foundation model technologies into imaging workflows and developing AI systems that make advanced image analysis methods more accessible to researchers.
- Responsibilities include:
- Developing and evaluating AI systems based on Large Language Models (LLMs), Vision-Language Models (VLMs), and multimodal foundation models.
- Designing agentic workflows that automate complex image analysis tasks.
- Building systems that can autonomously select, configure, and execute image analysis tools and pipelines.
- Integrating state-of-the-art computer vision frameworks like foundation models into AI-assisted workflows.
- Collaborating with and supporting researchers across the Helmholtz Association to identify high-impact use cases and develop tailored solutions.
- Developing sustainable open-source software and reusable tools for the Helmholtz community.
- Staying at the forefront of developments in foundation models, agentic AI, and scientific machine learning.
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Our expectations of you
Education
- A master's degree or PhD in computer science, data science, physics, mathematics, or a related discipline.
Qualifications
- We are looking for a highly motivated and creative researcher or engineer with a strong interest in both computer vision and modern AI systems.
- You should have:
- Vertrautheit mit Open-Source-Softwareentwicklung und bewährten Praktiken im Software Engineering.
- Excellent communication skills and enthusiasm for interdisciplinary collaboration.
Experience
- Strong programming skills in Python and experience with modern machine learning frameworks such as PyTorch.
- Experience in computer vision and deep learning.
- Hands-on experience with Large Language Models (LLMs), Vision-Language Models (VLMs), multimodal foundation models, or agentic AI systems.
- Experience with model evaluation, benchmarking, and experimental design.
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What we offer
- Opportunity to work at the forefront of AI, foundation models, and scientific imaging.
- Close integration with HI and the Helmholtz Foundation Model Initiative.
- Collaboration with leading researchers across multiple scientific domains.
- Access to cutting-edge compute infrastructure and large-scale AI resources.
- Excellent framework conditions: state-of-the-art equipment and opportunities for international networking at the highest level.
- 30 days of vacation per year.
- Flexible working hours.
- Remuneration according to TV-L incl. occupational pension plan and capital-forming payments.
- Possibility of mobile work and part-time work.
- Family-friendly working environment.
- Sustainable travel to work: subsidized Germany job ticket.
- Unleash your full potential: targeted offers for your personal development to further develop your talents.
- Our Corporate Health Management Program offers a holistic approach to your well-being.
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Benefits
Work-Life-Integration
Topics that you deal with on the job
Job Locations
This is your employer
German Cancer Research Center in the Helmholtz Association
You have the chance to really make a difference as an employee at one of Germany's leading cancer research centers at the DKTK site in Munich with the two clinics to the right of the Isar (MRI) and at the LMU Klinikum (KUM).
Description
- Language
- English
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Healthcare, Social Sector
Machine Learning Engineer - Language Models and Agentic AI
- Location
- Heidelberg
- Working Model
- Onsite
- Diversity
- Open for all genders
- English Only
- English only required
